Mcdonalds (MCD) Total Liabilities (2009 - 2026)
Mcdonalds' Total Liabilities was $60.94 billion in Q2 2026, down 2.2% from $62.32 billion a year earlier and down 0.6% from the prior quarter.
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Analysis
Mcdonalds (MCD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Mcdonalds came in at $61.31 billion, up 3.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $58.98 billion in FY2024 (-3.1%), $60.85 billion in FY2023 (+7.8%), $56.44 billion in FY2022 (-3.4%) and $58.46 billion in FY2021 (-3.3%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in six of the last eight quarters, with growth averaging 2.5%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2023 (growth of 7.8%); the worst was Q3 2022 (a decline of 5.7%).
- Per Business Quant data, MCD's Total Liabilities in the three quarters before Q2 2026 was $61.32 billion (Q1 2026), $61.31 billion (Q4 2025) and $62.77 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 2.09 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 2.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.94 Bn |
| Mar 31, 2026 | 61.32 Bn |
| Dec 31, 2025 | 61.31 Bn |
| Sep 30, 2025 | 62.77 Bn |
| Jun 30, 2025 | 62.32 Bn |
| Mar 31, 2025 | 59.78 Bn |
| Dec 31, 2024 | 58.98 Bn |
| Sep 30, 2024 | 61.35 Bn |
| Jun 30, 2024 | 58.63 Bn |
| Mar 31, 2024 | 58.35 Bn |
| Dec 31, 2023 | 60.85 Bn |
| Sep 30, 2023 | 56.94 Bn |
| Jun 30, 2023 | 55.44 Bn |
| Mar 31, 2023 | 57.79 Bn |
| Dec 31, 2022 | 56.44 Bn |
| Sep 30, 2022 | 55.07 Bn |
| Jun 30, 2022 | 55.62 Bn |
| Mar 31, 2022 | 56.87 Bn |
| Dec 31, 2021 | 58.46 Bn |
| Sep 30, 2021 | 58.40 Bn |
API Access
Mcdonalds Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MCD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();